Digital camera identification using PRNU: A feature based approach

Interpol review of digital evidence 2016 - 2019

“…Images could be differentiated even when captured from cameras of similar make and model. The technique was robust even when challenged with simple image manipulations or geometric variations [ 111 ].…”

Interpol review of imaging and video 2016–2019

“…Identification of images that might have a common source can also be helpful in these investigations. The developments that have been started in the period of the previous review have not been stopped and have lead to a number of new methods and software packages [ [51] , [52] , [53] , [55] , [56] , [57] , [58] , [59] , [60] , [61] , [62] , [63] , [64] , [65] , [66] , [67] , [68] , [69] , [70] , [71] , [72] , [73] , [74] , [75] , [76] , [b] , [77] , [a] , [b] , [78] , [a] , [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] , [88] , [89] , [9] ]. The most used method is based on the estimation of a specific type of fixed pattern noise in an image that is caused by PRNU - Photo Response Non Uniformity .…”

“…These patterns have to be compared and a similarity measure is used as a measure for the strength of the evidence that the camera is the source. Common practice is to compare the PRNU pattern of a specific image with the PRNU patterns from a large number of camera’s [ 51 , 55 , 60 , 61 , [68] , [69] , [70] , 75 ]. The quality of the estimation of the PRNU pattern from an image depends heavily on the image content and this can be taken into account.…”

Feature Set Reduction for Source Camera Identification Using Demosaicing and Wavelet-based Features

“…Jeyalakshmi, 2018], where the effectiveness of using different types of wavelet transform for feature extraction was compared. An approach carried out by [K. R. Akshatha, 2016]…”